• Excellent analytical and problem solving skills.
• Extensive experience in R and broad knowledge of SAS programming.
• Used statistical methods to analyze dataset having billions of records to predict online consumer behavior.
• Five years of experience in Database management and SQL programming.
Data Engineer @ From August 2014 to Present (1 year 5 months) Greater New York City AreaSenior Statistical Developer @ From February 2013 to July 2014 (1 year 6 months) Greater New York City AreaData Analyst @ • Maintain the integrity of project’s data, which includes data extraction, processing, storage and manipulation using SQL server.
• Work with other statisticians and domain experts to develop statistical analysis that address proposed research questions and make decisions about study designs, data analysis, and methodology.
• Use statistical methods such as ordinal regressions, quantile regressions, classifications, hierarchical linear models in R, interpret those results, and provide written summaries of the analysis. From December 2009 to February 2013 (3 years 3 months) Machine Learning Analyst @ • Simulate and test economic relationships within very large dataset of consumer behavior in the online marking industry.
• Apply machine learning methods on a large data and compare their performance with other methods. From October 2008 to December 2009 (1 year 3 months) Data Analyst and Database Administrator @ • Developed new modeling tools for assessment of the condition of aquatic resources in the western United States using R.
• Executed integration of Ecological Data from D-Base and SQL server into a single functional SQL server database.
• Developed new database schema and integrity constraints for combined data base.
• Developed data entry tools including various reports using Visual Basic and Crystal Reports. From June 2006 to July 2008 (2 years 2 months) Data Analyst and Database Developer @ • Analyzed research dollar data and teaching data using SAS and R.
• Designed the database using Microsoft Access.
• Developed Research reports using Microsoft Access. From November 2004 to May 2006 (1 year 7 months)
Master, Statistics @ Utah State University From 2006 to 2008 Bachelor, Computer Science @ Utah State University From 2004 to 2006 Margi Dubal is skilled in: R, SQL, Data Visualization, JavaScript, Data Mining, Machine Learning, Hadoop, Python, Data Analysis, SAS, Java, Statistical Modeling, Microsoft SQL Server, Integration, Databases, Programming, Agile Methodologies
Websites:
http://wirelessgeneration.com/